{"ok":true,"nota":{"id":"dc0958332ca6f17d","slug":"un-sistema-de-alerta-en-consultorios-podria-detectar-mal-clasificados--dc0958","titulo":"Un sistema de alerta en consultorios podría detectar mal clasificados los casos de diabetes","resumen":"En 11 consultorios de atención primaria del Reino Unido probaron una herramienta de apoyo que marca pacientes con alta probabilidad de tener un tipo de diabetes mal diagnosticado. Evaluaron si era factible usarla en la práctica diaria y si el personal la aceptaba.","fuente":"medrxiv","fuenteNombre":"medRxiv · preprints","color":"#1f7a4d","autor":"Shields, B., Young, K., Geen, M., Hill, A., Lee, C., Humphreys, R., Timblin, C., Colclough, K., Campbell, J., Hamilton, ","url":"https://www.medrxiv.org/content/10.64898/2026.10.20.26366000v1?rss=1","imagen":"/hoy/portada/dc0958332ca6f17d","tema":"salud","subtemas":["diabetes","diagnóstico","atención primaria","herramientas de decisión clínica","clasificación de diabetes"],"entidades":["Reino Unido","DePICtion"],"formato":"dato","entretenimiento":false,"pubTs":"2026-10-22T00:00:00.000Z","indexTs":"2026-10-22T22:02:10.729Z","hash":"cf040d987ddb10a9fbfed823391f62dfce145d82a74555929819d0985e315584","tsa":{"time":"Oct 22 22:02:56 2026 GMT","provider":"freetsa.org","sobre":"sello"},"stats":{"views":0,"likes":0,"clicks":0,"dwell":0},"tipo":"normal","registro":"hallazgo","porQueImporta":"Hasta un 15% de las personas con diabetes podría tener asignado el tipo equivocado, sobre todo jóvenes, y eso lleva a tratamientos que no les sirven. Una alerta automática dentro de la ficha del paciente es una idea simple que cualquier sistema de salud podría adoptar. El estudio es de factibilidad, así que mide si la herramienta funciona en la práctica, no si mejora la salud de los pacientes todavía. Antes de celebrarla, falta ver si los médicos realmente la usan y si cambia los diagnósticos.","quienFirma":"Estudio DePICtion (consultorios de atención primaria del Reino Unido)","confianza":"revisado","consulta":null},"sello":{"hash":"cf040d987ddb10a9fbfed823391f62dfce145d82a74555929819d0985e315584","sello":"d2390596f9e6855abf9bd5afb6921f36002ada5cbaac53b041d3a7698902903e","beacon":{"drand":{"cadena":"8990e7a9aaed2ffed73dbd7092123d6f289930540d7651336225dc172e51b2ce","ronda":6575851,"aleatorio":"29e6764b49393fcb685b41ab04eb6667b179de6b518c8212d4aa11d1de9d1b19","tiempo":"2026-10-22T22:02:30.000Z"},"nist":{"cadena":2,"pulso":1995125,"salida":"70391569C3CDB488E71ABC660C5481B4A24B300E2E08E833696854B6488DAB0370809D6AA479035A0F6218DCEDD92C536F46C33AF62EF2BFF2B7635A2FD7E526","tiempo":"2026-10-22T22:02:00.000Z"},"noAntes":"2026-10-22T22:02:30.000Z"},"verificacion":{"drand":true,"nist":true},"tsa":{"time":"Oct 22 22:02:56 2026 GMT","provider":"freetsa.org","sobre":"sello"},"original":{"titulo":"The \"Diabetes in Primary Care - Improving Classification\" (DePICtion) study: a feasibility study to determine the utility and acceptability of implementing diabetes classification tools in primary care","descripcion":"Introduction: There are several subtypes of diabetes, including type1, type 2, and a genetic form called MODY. Classification can be challenging, particularly in young people, with up to 15% of people misclassified with the wrong subtype, resulting in inappropriate treatment. We assessed the feasibility of embedding a decision support tool (the DePICtion tool) in GP records to flag patients at risk of misclassification for further investigation and biomarker testing. Research Design & Methods: The DePICtion tool was run in 11 UK GP practices. The tool generated a list of patients at high probability of being misclassified for review by practice staff. After review, practices returned a follo","pubDate":"2026-10-22","url":"https://www.medrxiv.org/content/10.64898/2026.10.20.26366000v1?rss=1"},"indexado":"2026-10-22T22:02:10.729Z"}}